Parallel distributed processing: explorations in the microstructure of cognition, vol. 2: psychological and biological models
Massively parallel models of computation: distributed parallel processing in artificial intelligence and optimisation
Introduction to the Theory of Neural Computation
Introduction to the Theory of Neural Computation
Creativity and delusions: the dopaminergic modulation of cortical maps
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
Generalized Simulated Annealing and Memory Functioning in Psychopathology
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
A complex neural network model for memory functioning in psychopathology
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Some things psychopathologies can tell us about consciousness
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
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The mental pathology known as neurosis, its aetiology, and the development of symptoms are described in terms of their relation to memory function. We propose, based on a neural network model, that neurotic behavior may be understood as an associative memory process in the brain, and that the linguistic, symbolic associative process involved in psychoanalytic working-through can be mapped onto a corresponding process of reconfiguration of the neural network. The model is illustrated through a computer simulation implementation. We relate the sensitivity to temperature and the adaptive capabilities of our model, with the sensitivity of cortical map modulation to the catecholamines (norepinephrine and dopamine). The signal-to-noise ratio regulated by these substances influence thought associativity, suggesting a continuum from psychotic functioning through to normal and neurotic behavior and creativity.